Core Concepts
Open-source ML pipeline for bioinformatics simplifies complex data analysis without coding expertise.
Stats
"The majority of AI libraries today require advanced programming skills as well as machine learning, data preprocessing, and visualization skills."
"The backend system is supported with 4 object classes: DataHandler, ModelEngine, NeuralEngine, and VisualEngine."
"PCA is an unsupervised linear dimensionality reduction technique that seeks to project the data along directions of maximum variance called principal components."
Quotes
"An open-source, user-friendly interface for AI models, that does not require programming skills to analyze complex biological data will be extremely valuable to the bioinformatics community."
"Through a profoundly simplified approach to machine learning, we aim to help visionaries across all domains turn their ideas into practical AI solutions."